Evidence map›Paper›PMID 22876347›Full record

ArticleBiomedical optics express2012

Auto-fluorescence lifetime and light reflectance spectroscopy for breast cancer diagnosis: potential tools for intraoperative margin detection.

Vikrant Sharma, Shivaranjani Shivalingaiah, Yan Peng, David Euhus, Zygmunt Gryczynski, Hanli Liu

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  3. Polarimetry terahertz imaging of human breast cancer surgical specimens.Journal of medical imaging (Bellingham, Wash.) · 2024
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  14. Terahertz tomographic imaging of freshly excised human breast tissues.Journal of medical imaging (Bellingham, Wash.) · 2019
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Vikrant Sharma
Shivaranjani Shivalingaiah
Yan Peng
David Euhus
Zygmunt Gryczynski
Hanli Liu
The University of Texas at Arlington · USThe University of Texas Southwestern Medical Center · USTexas Christian University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the use of two spectroscopic techniques, auto-fluorescence lifetime measurement (AFLM) and light reflectance spectroscopy (LRS), for detecting invasive ductal carcinoma (IDC) in human ex vivo breast specimens. AFLM used excitation at 447 nm with multiple emission wavelengths (532, 562, 632, and 644 nm), at which auto-fluorescence lifetimes and their weight factors were analyzed using a double exponent model. LRS measured reflectance spectra in the range of 500-840 nm and analyzed the spectral slopes empirically at several distinct spectral regions. Our preliminary results based on 93 measured locations (i.e., 34 IDC, 31 benign fibrous, 28 adipose) from 6 specimens show significant differences in 5 AFLM-derived parameters and 9 LRS-based spectral slopes between benign and malignant breast samples. Multinomial logistic regression with a 10-fold cross validation approach was implemented with selected features to classify IDC from benign fibrous and adipose tissues for the two techniques independently as well as for the combined dual-modality approach. The accuracy for classifying IDC was found to be 96.4 ± 0.8%, 92.3 ± 0.8% and 96 ± 1.3% for LRS, AFLM, and dual-modality, respectively.

Indexed as

(170.1610) Clinical applications(170.3650) Lifetime-based sensing(170.4580) Optical diagnostics for medicine(170.6510) Spectroscopy, tissue diagnostics(170.6935) Tissue characterization

Identifiers

PMID22876347
PMCPMC3409702
OpenAlexW2086068434

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.